Data Profile Report

Dataset statistics

Number of variables	20
Number of observations	1131
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	756.6 KiB
Average record size in memory	685.0 B

Variable types

Text	2
Categorical	6
Numeric	10
DateTime	2

Alerts

`user_id` has unique values	Unique
`start_time` has unique values	Unique
`duration_hours` has unique values	Unique
`energy_consumed_kwh` has unique values	Unique
`charging_cost_usd` has unique values	Unique
`charging_rate_kw` has unique values	Unique
`soc_start_percent` has unique values	Unique
`soc_end_percent` has unique values	Unique
`distance_driven_km` has unique values	Unique
`temperature_c` has unique values	Unique
`vehicle_age_years` has 126 (11.1%) zeros	Zeros

Reproduction

Analysis started	2024-12-21 14:57:09.470769
Analysis finished	2024-12-21 14:57:12.954580
Duration	3.48 seconds
Software version	ydata-profiling vv4.12.1
Download configuration	config.json

user_id
Text

Unique

Distinct	1131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	63.3 KiB

Length

Max length	9
Median length	8
Mean length	8.1556145
Min length	6

Characters and Unicode

Total characters	9224
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1131 ?
Unique (%)	100.0%

Sample

1st row	User_1
2nd row	User_2
3rd row	User_3
4th row	User_4
5th row	User_5

Value	Count	Frequency (%)
user_1	1	0.1%
user_11	1	0.1%
user_5	1	0.1%
user_6	1	0.1%
user_7	1	0.1%
user_8	1	0.1%
user_37	1	0.1%
user_9	1	0.1%
user_12	1	0.1%
user_3	1	0.1%
Other values (1121)	1121	99.1%

Most occurring characters

Value	Count	Frequency (%)
U	1131	12.3%
s	1131	12.3%
e	1131	12.3%
r	1131	12.3%
_	1131	12.3%
1	675	7.3%
2	398	4.3%
3	326	3.5%
4	319	3.5%
0	312	3.4%
Other values (5)	1539	16.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9224	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
U	1131	12.3%
s	1131	12.3%
e	1131	12.3%
r	1131	12.3%
_	1131	12.3%
1	675	7.3%
2	398	4.3%
3	326	3.5%
4	319	3.5%
0	312	3.4%
Other values (5)	1539	16.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9224	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
U	1131	12.3%
s	1131	12.3%
e	1131	12.3%
r	1131	12.3%
_	1131	12.3%
1	675	7.3%
2	398	4.3%
3	326	3.5%
4	319	3.5%
0	312	3.4%
Other values (5)	1539	16.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9224	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
U	1131	12.3%
s	1131	12.3%
e	1131	12.3%
r	1131	12.3%
_	1131	12.3%
1	675	7.3%
2	398	4.3%
3	326	3.5%
4	319	3.5%
0	312	3.4%
Other values (5)	1539	16.7%

user_type
Categorical

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	70.0 KiB

Commuter	404
Long-Distance Traveler	381
Casual Driver	346

Length

Max length	22
Median length	13
Mean length	14.2458
Min length	8

Characters and Unicode

Total characters	16112
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Commuter
2nd row	Casual Driver
3rd row	Commuter
4th row	Long-Distance Traveler
5th row	Long-Distance Traveler

Common Values

Value	Count	Frequency (%)
Commuter	404	35.7%
Long-Distance Traveler	381	33.7%
Casual Driver	346	30.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
commuter	404	21.7%
long-distance	381	20.5%
traveler	381	20.5%
casual	346	18.6%
driver	346	18.6%

Most occurring characters

Value	Count	Frequency (%)
e	1893	11.7%
r	1858	11.5%
a	1454	9.0%
m	808	5.0%
t	785	4.9%
o	785	4.9%
n	762	4.7%
C	750	4.7%
u	750	4.7%
s	727	4.5%
Other values (10)	5540	34.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16112	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1893	11.7%
r	1858	11.5%
a	1454	9.0%
m	808	5.0%
t	785	4.9%
o	785	4.9%
n	762	4.7%
C	750	4.7%
u	750	4.7%
s	727	4.5%
Other values (10)	5540	34.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16112	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1893	11.7%
r	1858	11.5%
a	1454	9.0%
m	808	5.0%
t	785	4.9%
o	785	4.9%
n	762	4.7%
C	750	4.7%
u	750	4.7%
s	727	4.5%
Other values (10)	5540	34.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16112	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1893	11.7%
r	1858	11.5%
a	1454	9.0%
m	808	5.0%
t	785	4.9%
o	785	4.9%
n	762	4.7%
C	750	4.7%
u	750	4.7%
s	727	4.5%
Other values (10)	5540	34.4%

vehicle_model
Categorical

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

Tesla Model 3	244
Nissan Leaf	227
BMW i3	223
Chevy Bolt	219
Hyundai Kona	218

Length

Max length	13
Median length	11
Mean length	10.444739
Min length	6

Characters and Unicode

Total characters	11813
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BMW i3
2nd row	Hyundai Kona
3rd row	Chevy Bolt
4th row	Hyundai Kona
5th row	Hyundai Kona

Common Values

Value	Count	Frequency (%)
Tesla Model 3	244	21.6%
Nissan Leaf	227	20.1%
BMW i3	223	19.7%
Chevy Bolt	219	19.4%
Hyundai Kona	218	19.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
tesla	244	9.7%
model	244	9.7%
3	244	9.7%
nissan	227	9.1%
leaf	227	9.1%
bmw	223	8.9%
i3	223	8.9%
chevy	219	8.7%
bolt	219	8.7%
hyundai	218	8.7%

Most occurring characters

Value	Count	Frequency (%)
	1375	11.6%
a	1134	9.6%
e	934	7.9%
l	707	6.0%
s	698	5.9%
o	681	5.8%
i	668	5.7%
n	663	5.6%
M	467	4.0%
3	467	4.0%
Other values (15)	4019	34.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11813	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1375	11.6%
a	1134	9.6%
e	934	7.9%
l	707	6.0%
s	698	5.9%
o	681	5.8%
i	668	5.7%
n	663	5.6%
M	467	4.0%
3	467	4.0%
Other values (15)	4019	34.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11813	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1375	11.6%
a	1134	9.6%
e	934	7.9%
l	707	6.0%
s	698	5.9%
o	681	5.8%
i	668	5.7%
n	663	5.6%
M	467	4.0%
3	467	4.0%
Other values (15)	4019	34.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11813	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1375	11.6%
a	1134	9.6%
e	934	7.9%
l	707	6.0%
s	698	5.9%
o	681	5.8%
i	668	5.7%
n	663	5.6%
M	467	4.0%
3	467	4.0%
Other values (15)	4019	34.0%

vehicle_age_years
Real number (ℝ)

Zeros

Distinct	103
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.6042266

Minimum	0
Maximum	11.688592
Zeros	126
Zeros (%)	11.1%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	6
95-th percentile	7
Maximum	11.688592
Range	11.688592
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.3240896
Coefficient of variation (CV)	0.64482338
Kurtosis	-1.0295344
Mean	3.6042266
Median Absolute Deviation (MAD)	2
Skewness	0.04164549
Sum	4076.3802
Variance	5.4013923
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	142	12.6%
5	138	12.2%
6	138	12.2%
3	132	11.7%
0	126	11.1%
2	122	10.8%
4	119	10.5%
1	119	10.5%
5.404853321	1	0.1%
0.3556527874	1	0.1%
Other values (93)	93	8.2%

Value	Count	Frequency (%)
0	126	11.1%
0.020155741	1	0.1%
0.08859825775	1	0.1%
0.1900469257	1	0.1%
0.2884081107	1	0.1%
0.3556527874	1	0.1%
0.3612151658	1	0.1%
0.4616615532	1	0.1%
0.6749470228	1	0.1%
0.6898866541	1	0.1%

Value	Count	Frequency (%)
11.68859247	1	0.1%
10.63457441	1	0.1%
10.54723654	1	0.1%
9.076121184	1	0.1%
8.018665733	1	0.1%
7.690884188	1	0.1%
7.51530869	1	0.1%
7.197041544	1	0.1%
7	142	12.6%
6.817970665	1	0.1%

station_id
Text

Distinct	446
Distinct (%)	39.4%
Missing	0
Missing (%)	0.0%
Memory size	66.1 KiB

Length

Max length	11
Median length	11
Mean length	10.770115
Min length	9

Characters and Unicode

Total characters	12181
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	113 ?
Unique (%)	10.0%

Sample

1st row	Station_391
2nd row	Station_428
3rd row	Station_181
4th row	Station_327
5th row	Station_108

Value	Count	Frequency (%)
station_108	8	0.7%
station_17	7	0.6%
station_461	7	0.6%
station_44	6	0.5%
station_181	6	0.5%
station_402	6	0.5%
station_211	6	0.5%
station_57	6	0.5%
station_140	6	0.5%
station_69	6	0.5%
Other values (436)	1067	94.3%

Most occurring characters

Value	Count	Frequency (%)
t	2262	18.6%
S	1131	9.3%
a	1131	9.3%
i	1131	9.3%
o	1131	9.3%
n	1131	9.3%
_	1131	9.3%
1	475	3.9%
4	460	3.8%
2	445	3.7%
Other values (7)	1753	14.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12181	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	2262	18.6%
S	1131	9.3%
a	1131	9.3%
i	1131	9.3%
o	1131	9.3%
n	1131	9.3%
_	1131	9.3%
1	475	3.9%
4	460	3.8%
2	445	3.7%
Other values (7)	1753	14.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12181	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	2262	18.6%
S	1131	9.3%
a	1131	9.3%
i	1131	9.3%
o	1131	9.3%
n	1131	9.3%
_	1131	9.3%
1	475	3.9%
4	460	3.8%
2	445	3.7%
Other values (7)	1753	14.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12181	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	2262	18.6%
S	1131	9.3%
a	1131	9.3%
i	1131	9.3%
o	1131	9.3%
n	1131	9.3%
_	1131	9.3%
1	475	3.9%
4	460	3.8%
2	445	3.7%
Other values (7)	1753	14.4%

station_location
Categorical

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	64.5 KiB

Los Angeles	276
Houston	239
New York	215
San Francisco	202
Chicago	199

Length

Max length	13
Median length	11
Mean length	9.2378426
Min length	7

Characters and Unicode

Total characters	10448
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Houston
2nd row	San Francisco
3rd row	San Francisco
4th row	Houston
5th row	Los Angeles

Common Values

Value	Count	Frequency (%)
Los Angeles	276	24.4%
Houston	239	21.1%
New York	215	19.0%
San Francisco	202	17.9%
Chicago	199	17.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
los	276	15.1%
angeles	276	15.1%
houston	239	13.1%
new	215	11.8%
york	215	11.8%
san	202	11.1%
francisco	202	11.1%
chicago	199	10.9%

Most occurring characters

Value	Count	Frequency (%)
o	1370	13.1%
s	993	9.5%
n	919	8.8%
e	767	7.3%
	693	6.6%
a	603	5.8%
c	603	5.8%
g	475	4.5%
r	417	4.0%
i	401	3.8%
Other values (14)	3207	30.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10448	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	1370	13.1%
s	993	9.5%
n	919	8.8%
e	767	7.3%
	693	6.6%
a	603	5.8%
c	603	5.8%
g	475	4.5%
r	417	4.0%
i	401	3.8%
Other values (14)	3207	30.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10448	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	1370	13.1%
s	993	9.5%
n	919	8.8%
e	767	7.3%
	693	6.6%
a	603	5.8%
c	603	5.8%
g	475	4.5%
r	417	4.0%
i	401	3.8%
Other values (14)	3207	30.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10448	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	1370	13.1%
s	993	9.5%
n	919	8.8%
e	767	7.3%
	693	6.6%
a	603	5.8%
c	603	5.8%
g	475	4.5%
r	417	4.0%
i	401	3.8%
Other values (14)	3207	30.7%

charger_type
Categorical

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	65.2 KiB

DC Fast Charger	411
Level 1	363
Level 2	357

Length

Max length	15
Median length	7
Mean length	9.9071618
Min length	7

Characters and Unicode

Total characters	11205
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DC Fast Charger
2nd row	Level 1
3rd row	Level 2
4th row	Level 1
5th row	Level 1

Common Values

Value	Count	Frequency (%)
DC Fast Charger	411	36.3%
Level 1	363	32.1%
Level 2	357	31.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
level	720	26.9%
dc	411	15.4%
fast	411	15.4%
charger	411	15.4%
1	363	13.6%
2	357	13.4%

Most occurring characters

Value	Count	Frequency (%)
e	1851	16.5%
	1542	13.8%
C	822	7.3%
a	822	7.3%
r	822	7.3%
L	720	6.4%
v	720	6.4%
l	720	6.4%
D	411	3.7%
F	411	3.7%
Other values (6)	2364	21.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11205	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1851	16.5%
	1542	13.8%
C	822	7.3%
a	822	7.3%
r	822	7.3%
L	720	6.4%
v	720	6.4%
l	720	6.4%
D	411	3.7%
F	411	3.7%
Other values (6)	2364	21.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11205	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1851	16.5%
	1542	13.8%
C	822	7.3%
a	822	7.3%
r	822	7.3%
L	720	6.4%
v	720	6.4%
l	720	6.4%
D	411	3.7%
F	411	3.7%
Other values (6)	2364	21.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11205	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1851	16.5%
	1542	13.8%
C	822	7.3%
a	822	7.3%
r	822	7.3%
L	720	6.4%
v	720	6.4%
l	720	6.4%
D	411	3.7%
F	411	3.7%
Other values (6)	2364	21.1%

start_time
Date

Unique

Distinct	1131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	9.0 KiB

Minimum	2024-01-01 00:00:00
Maximum	2024-02-24 23:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

end_time
Date

Distinct	1121
Distinct (%)	99.1%
Missing	0
Missing (%)	0.0%
Memory size	9.0 KiB

Minimum	2024-01-01 00:39:00
Maximum	2024-02-24 23:56:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

duration_hours
Real number (ℝ)

Unique

Distinct	1131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3031773

Minimum	0.095314417
Maximum	7.6351448
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0.095314417
5-th percentile	0.67759528
Q1	1.4252811
median	2.3126751
Q3	3.1459982
95-th percentile	3.8629289
Maximum	7.6351448
Range	7.5398303
Interquartile range (IQR)	1.7207171

Descriptive statistics

Standard deviation	1.0658784
Coefficient of variation (CV)	0.46278609
Kurtosis	0.33507869
Mean	2.3031773
Median Absolute Deviation (MAD)	0.85703915
Skewness	0.34347727
Sum	2604.8935
Variance	1.1360968
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5913634254	1	0.1%
2.572225077	1	0.1%
3.308261928	1	0.1%
2.012360141	1	0.1%
0.9497561026	1	0.1%
1.967714479	1	0.1%
0.7713119843	1	0.1%
2.296980268	1	0.1%
2.917826685	1	0.1%
2.879571205	1	0.1%
Other values (1121)	1121	99.1%

Value	Count	Frequency (%)
0.09531441655	1	0.1%
0.1400299896	1	0.1%
0.1543006839	1	0.1%
0.1653938787	1	0.1%
0.182479567	1	0.1%
0.2066308831	1	0.1%
0.3599172409	1	0.1%
0.504601217	1	0.1%
0.512378183	1	0.1%
0.513006351	1	0.1%

Value	Count	Frequency (%)
7.635144759	1	0.1%
6.773095327	1	0.1%
6.75915168	1	0.1%
6.494007043	1	0.1%
6.17641656	1	0.1%
5.945571288	1	0.1%
5.505495842	1	0.1%
5.444091596	1	0.1%
5.220359375	1	0.1%
5.211612226	1	0.1%

energy_consumed_kwh
Real number (ℝ)

Unique

Distinct	1131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.915668

Minimum	0.045771842
Maximum	152.23876
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0.045771842
5-th percentile	8.2585113
Q1	24.248936
median	42.865611
Q3	61.544055
95-th percentile	76.538511
Maximum	152.23876
Range	152.19299
Interquartile range (IQR)	37.295118

Descriptive statistics

Standard deviation	22.201286
Coefficient of variation (CV)	0.51732356
Kurtosis	-0.49399116
Mean	42.915668
Median Absolute Deviation (MAD)	18.655149
Skewness	0.11567182
Sum	48537.621
Variance	492.8971
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60.71234573	1	0.1%
58.11274414	1	0.1%
77.45420996	1	0.1%
36.26259614	1	0.1%
51.08539267	1	0.1%
9.047732107	1	0.1%
28.78049141	1	0.1%
56.52037668	1	0.1%
72.95818105	1	0.1%
57.67538256	1	0.1%
Other values (1121)	1121	99.1%

Value	Count	Frequency (%)
0.04577184228	1	0.1%
0.121143295	1	0.1%
1.330225739	1	0.1%
1.754520234	1	0.1%
4.288320356	1	0.1%
5.013889647	1	0.1%
5.144893572	1	0.1%
5.163807088	1	0.1%
5.200112601	1	0.1%
5.337836074	1	0.1%

Value	Count	Frequency (%)
152.238758	1	0.1%
127.7574744	1	0.1%
103.8126056	1	0.1%
97.66776539	1	0.1%
94.36532941	1	0.1%
90.23550358	1	0.1%
85.03985431	1	0.1%
80.72941928	1	0.1%
79.97267191	1	0.1%
79.96222628	1	0.1%

charging_cost_usd
Real number (ℝ)

Unique

Distinct	1131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.488351

Minimum	0.30708545
Maximum	69.407743
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0.30708545
5-th percentile	7.0922303
Q1	13.133925
median	21.828088
Q3	31.675804
95-th percentile	38.353076
Maximum	69.407743
Range	69.100658
Interquartile range (IQR)	18.541879

Descriptive statistics

Standard deviation	10.792504
Coefficient of variation (CV)	0.4799153
Kurtosis	-0.46482219
Mean	22.488351
Median Absolute Deviation (MAD)	9.2619716
Skewness	0.28000199
Sum	25434.325
Variance	116.47814
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13.08771679	1	0.1%
36.43538614	1	0.1%
5.691471522	1	0.1%
35.14611587	1	0.1%
7.181392583	1	0.1%
25.26991752	1	0.1%
27.52125904	1	0.1%
9.434171312	1	0.1%
20.51806392	1	0.1%
33.67417017	1	0.1%
Other values (1121)	1121	99.1%

Value	Count	Frequency (%)
0.3070854525	1	0.1%
0.6713465052	1	0.1%
1.640802843	1	0.1%
3.059041507	1	0.1%
3.668584746	1	0.1%
3.707066616	1	0.1%
5.043208361	1	0.1%
5.056096912	1	0.1%
5.06404815	1	0.1%
5.06780582	1	0.1%

Value	Count	Frequency (%)
69.40774319	1	0.1%
68.93168829	1	0.1%
60.40252537	1	0.1%
58.74667669	1	0.1%
54.89298253	1	0.1%
49.13746988	1	0.1%
46.27027201	1	0.1%
46.17291744	1	0.1%
46.05917303	1	0.1%
45.04426936	1	0.1%

charging_rate_kw
Real number (ℝ)

Unique

Distinct	1131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.014166

Minimum	1.4725491
Maximum	97.342255
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	1.4725491
5-th percentile	5.3525974
Q1	13.949809
median	25.838488
Q3	37.508677
95-th percentile	47.734818
Maximum	97.342255
Range	95.869706
Interquartile range (IQR)	23.558868

Descriptive statistics

Standard deviation	14.010292
Coefficient of variation (CV)	0.53856394
Kurtosis	-0.48585441
Mean	26.014166
Median Absolute Deviation (MAD)	11.738802
Skewness	0.2258641
Sum	29422.022
Variance	196.28827
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36.38918057	1	0.1%
43.4773024	1	0.1%
29.41340669	1	0.1%
38.149082	1	0.1%
25.83848785	1	0.1%
40.91079821	1	0.1%
7.446768634	1	0.1%
12.8885881	1	0.1%
29.99045483	1	0.1%
46.31316025	1	0.1%
Other values (1121)	1121	99.1%

Value	Count	Frequency (%)
1.472549139	1	0.1%
1.654937068	1	0.1%
1.722296154	1	0.1%
2.246134508	1	0.1%
2.535237862	1	0.1%
2.560943434	1	0.1%
2.63696679	1	0.1%
2.826146252	1	0.1%
3.023485282	1	0.1%
3.508161487	1	0.1%

Value	Count	Frequency (%)
97.3422547	1	0.1%
71.62104096	1	0.1%
68.54260187	1	0.1%
67.93467893	1	0.1%
63.21611838	1	0.1%
59.14854489	1	0.1%
57.09975217	1	0.1%
53.1747828	1	0.1%
51.36359325	1	0.1%
50.35062408	1	0.1%

soc_start_percent
Real number (ℝ)

Unique

Distinct	1131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.230036

Minimum	2.325959
Maximum	125.08723
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	2.325959
5-th percentile	13.88316
Q1	27.661992
median	48.947886
Q3	69.783816
95-th percentile	87.184429
Maximum	125.08723
Range	122.76127
Interquartile range (IQR)	42.121824

Descriptive statistics

Standard deviation	24.170435
Coefficient of variation (CV)	0.49096928
Kurtosis	-1.01799
Mean	49.230036
Median Absolute Deviation (MAD)	21.18183
Skewness	0.1506309
Sum	55679.171
Variance	584.20994
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29.37157598	1	0.1%
74.63709319	1	0.1%
80.65255109	1	0.1%
58.31902031	1	0.1%
44.70187213	1	0.1%
86.31805713	1	0.1%
27.2394756	1	0.1%
31.16795633	1	0.1%
40.21207607	1	0.1%
67.4595416	1	0.1%
Other values (1121)	1121	99.1%

Value	Count	Frequency (%)
2.325958995	1	0.1%
2.481152833	1	0.1%
6.854604444	1	0.1%
7.174271255	1	0.1%
7.520444727	1	0.1%
10.11577764	1	0.1%
10.28531461	1	0.1%
10.42770632	1	0.1%
10.67715373	1	0.1%
10.71439507	1	0.1%

Value	Count	Frequency (%)
125.0872271	1	0.1%
121.8472807	1	0.1%
119.0511075	1	0.1%
117.656235	1	0.1%
109.2657943	1	0.1%
105.032224	1	0.1%
98.33279531	1	0.1%
96.11613714	1	0.1%
95.79218803	1	0.1%
94.43594757	1	0.1%

soc_end_percent
Real number (ℝ)

Unique

Distinct	1131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75.012917

Minimum	7.6042245
Maximum	177.70867
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	7.6042245
5-th percentile	51.726384
Q1	62.26446
median	75.100944
Q3	88.24507
95-th percentile	98.040603
Maximum	177.70867
Range	170.10444
Interquartile range (IQR)	25.98061

Descriptive statistics

Standard deviation	16.920463
Coefficient of variation (CV)	0.22556732
Kurtosis	2.3724029
Mean	75.012917
Median Absolute Deviation (MAD)	13.067632
Skewness	0.24471215
Sum	84839.609
Variance	286.30207
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
86.11996244	1	0.1%
59.82731321	1	0.1%
90.08739344	1	0.1%
67.00704756	1	0.1%
82.6285391	1	0.1%
82.64673079	1	0.1%
94.99744371	1	0.1%
68.26436301	1	0.1%
62.269598	1	0.1%
64.97948546	1	0.1%
Other values (1121)	1121	99.1%

Value	Count	Frequency (%)
7.604224498	1	0.1%
10.08007433	1	0.1%
14.98994632	1	0.1%
18.70034949	1	0.1%
18.83987639	1	0.1%
19.57180031	1	0.1%
22.27521585	1	0.1%
22.88625804	1	0.1%
23.03568088	1	0.1%
23.5484923	1	0.1%

Value	Count	Frequency (%)
177.7086665	1	0.1%
159.9889032	1	0.1%
147.4921301	1	0.1%
146.8476439	1	0.1%
146.7594514	1	0.1%
139.8974081	1	0.1%
133.6294352	1	0.1%
116.0956569	1	0.1%
114.5256472	1	0.1%
114.167842	1	0.1%

time_of_day
Categorical

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	62.0 KiB

Evening	311
Morning	289
Afternoon	268
Night	263

Length

Max length	9
Median length	7
Mean length	7.0088417
Min length	5

Characters and Unicode

Total characters	7927
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Evening
2nd row	Morning
3rd row	Morning
4th row	Evening
5th row	Morning

Common Values

Value	Count	Frequency (%)
Evening	311	27.5%
Morning	289	25.6%
Afternoon	268	23.7%
Night	263	23.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
evening	311	27.5%
morning	289	25.6%
afternoon	268	23.7%
night	263	23.3%

Most occurring characters

Value	Count	Frequency (%)
n	1736	21.9%
i	863	10.9%
g	863	10.9%
o	825	10.4%
e	579	7.3%
r	557	7.0%
t	531	6.7%
E	311	3.9%
v	311	3.9%
M	289	3.6%
Other values (4)	1062	13.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7927	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	1736	21.9%
i	863	10.9%
g	863	10.9%
o	825	10.4%
e	579	7.3%
r	557	7.0%
t	531	6.7%
E	311	3.9%
v	311	3.9%
M	289	3.6%
Other values (4)	1062	13.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7927	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	1736	21.9%
i	863	10.9%
g	863	10.9%
o	825	10.4%
e	579	7.3%
r	557	7.0%
t	531	6.7%
E	311	3.9%
v	311	3.9%
M	289	3.6%
Other values (4)	1062	13.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7927	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	1736	21.9%
i	863	10.9%
g	863	10.9%
o	825	10.4%
e	579	7.3%
r	557	7.0%
t	531	6.7%
E	311	3.9%
v	311	3.9%
M	289	3.6%
Other values (4)	1062	13.4%

day_of_week
Categorical

Distinct	7
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	62.1 KiB

Tuesday	175
Saturday	171
Wednesday	167
Sunday	167
Friday	160
Other values (2)	291

Length

Max length	9
Median length	8
Mean length	7.1335102
Min length	6

Characters and Unicode

Total characters	8068
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Tuesday
2nd row	Monday
3rd row	Thursday
4th row	Saturday
5th row	Saturday

Common Values

Value	Count	Frequency (%)
Tuesday	175	15.5%
Saturday	171	15.1%
Wednesday	167	14.8%
Sunday	167	14.8%
Friday	160	14.1%
Monday	159	14.1%
Thursday	132	11.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
tuesday	175	15.5%
saturday	171	15.1%
wednesday	167	14.8%
sunday	167	14.8%
friday	160	14.1%
monday	159	14.1%
thursday	132	11.7%

Most occurring characters

Value	Count	Frequency (%)
a	1302	16.1%
d	1298	16.1%
y	1131	14.0%
u	645	8.0%
e	509	6.3%
n	493	6.1%
s	474	5.9%
r	463	5.7%
S	338	4.2%
T	307	3.8%
Other values (7)	1108	13.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8068	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1302	16.1%
d	1298	16.1%
y	1131	14.0%
u	645	8.0%
e	509	6.3%
n	493	6.1%
s	474	5.9%
r	463	5.7%
S	338	4.2%
T	307	3.8%
Other values (7)	1108	13.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8068	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1302	16.1%
d	1298	16.1%
y	1131	14.0%
u	645	8.0%
e	509	6.3%
n	493	6.1%
s	474	5.9%
r	463	5.7%
S	338	4.2%
T	307	3.8%
Other values (7)	1108	13.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8068	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1302	16.1%
d	1298	16.1%
y	1131	14.0%
u	645	8.0%
e	509	6.3%
n	493	6.1%
s	474	5.9%
r	463	5.7%
S	338	4.2%
T	307	3.8%
Other values (7)	1108	13.7%

distance_driven_km
Real number (ℝ)

Unique

Distinct	1131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	153.6631

Minimum	1.8995379
Maximum	398.36477
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	1.8995379
5-th percentile	23.54604
Q1	80.954993
median	152.25752
Q3	225.46963
95-th percentile	286.43105
Maximum	398.36477
Range	396.46524
Interquartile range (IQR)	144.51463

Descriptive statistics

Standard deviation	85.549751
Coefficient of variation (CV)	0.55673581
Kurtosis	-1.1263777
Mean	153.6631
Median Absolute Deviation (MAD)	72.302401
Skewness	0.085544269
Sum	173792.97
Variance	7318.7598
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
293.6021106	1	0.1%
293.1202476	1	0.1%
238.8650098	1	0.1%
85.38239414	1	0.1%
121.4352927	1	0.1%
286.8427866	1	0.1%
162.4659355	1	0.1%
114.1895795	1	0.1%
256.2701113	1	0.1%
124.0786461	1	0.1%
Other values (1121)	1121	99.1%

Value	Count	Frequency (%)
1.899537885	1	0.1%
2.908369295	1	0.1%
3.824527427	1	0.1%
7.619894391	1	0.1%
10.02829517	1	0.1%
10.87998409	1	0.1%
10.89843061	1	0.1%
10.93101298	1	0.1%
11.21551961	1	0.1%
11.60122874	1	0.1%

Value	Count	Frequency (%)
398.3647747	1	0.1%
384.6905686	1	0.1%
369.8535236	1	0.1%
327.3930934	1	0.1%
324.5247972	1	0.1%
311.6304081	1	0.1%
302.8524897	1	0.1%
299.7598782	1	0.1%
299.6629508	1	0.1%
299.5639342	1	0.1%

temperature_c
Real number (ℝ)

Unique

Distinct	1131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.30578

Minimum	-10.72477
Maximum	73.169588
Zeros	0
Zeros (%)	0.0%
Negative	216
Negative (%)	19.1%
Memory size	9.0 KiB

Quantile statistics

Minimum	-10.72477
5-th percentile	-7.4702502
Q1	3.0094977
median	14.641853
Q3	27.824244
95-th percentile	37.899431
Maximum	73.169588
Range	83.894358
Interquartile range (IQR)	24.814746

Descriptive statistics

Standard deviation	14.751266
Coefficient of variation (CV)	0.96377092
Kurtosis	-0.78159056
Mean	15.30578
Median Absolute Deviation (MAD)	12.367868
Skewness	0.16495472
Sum	17310.837
Variance	217.59984
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27.94795306	1	0.1%
24.13446895	1	0.1%
2.24905517	1	0.1%
-0.495076603	1	0.1%
16.95309452	1	0.1%
37.03618549	1	0.1%
5.291260873	1	0.1%
19.10315318	1	0.1%
12.98738853	1	0.1%
3.261647704	1	0.1%
Other values (1121)	1121	99.1%

Value	Count	Frequency (%)
-10.72476975	1	0.1%
-10.65967953	1	0.1%
-9.970262098	1	0.1%
-9.831678296	1	0.1%
-9.825102182	1	0.1%
-9.824642409	1	0.1%
-9.824574766	1	0.1%
-9.733171954	1	0.1%
-9.603661067	1	0.1%
-9.56906362	1	0.1%

Value	Count	Frequency (%)
73.16958797	1	0.1%
69.48593769	1	0.1%
59.93197387	1	0.1%
58.10524584	1	0.1%
50.54394309	1	0.1%
47.31817615	1	0.1%
45.75334767	1	0.1%
42.73966105	1	0.1%
41.89130689	1	0.1%
41.34107902	1	0.1%

battery_capacity_kwh
Real number (ℝ)

Distinct	122
Distinct (%)	10.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	74.427818

Minimum	1.5365397
Maximum	193.00307
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	1.5365397
5-th percentile	50
Q1	62
median	75
Q3	85
95-th percentile	100
Maximum	193.00307
Range	191.46653
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	20.82835
Coefficient of variation (CV)	0.2798463
Kurtosis	2.2117991
Mean	74.427818
Median Absolute Deviation (MAD)	13
Skewness	0.36103075
Sum	84177.863
Variance	433.82015
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	209	18.5%
50	205	18.1%
75	204	18.0%
62	200	17.7%
85	196	17.3%
108.4630074	1	0.1%
58.33515982	1	0.1%
96.60872071	1	0.1%
73.85002716	1	0.1%
53.97365866	1	0.1%
Other values (112)	112	9.9%

Value	Count	Frequency (%)
1.536539743	1	0.1%
3.838518074	1	0.1%
3.976596499	1	0.1%
5.189529952	1	0.1%
6.168895844	1	0.1%
7.451954887	1	0.1%
7.714516854	1	0.1%
10.18928677	1	0.1%
12.03333697	1	0.1%
15.42168148	1	0.1%

Value	Count	Frequency (%)
193.0030739	1	0.1%
188.6349646	1	0.1%
179.0130578	1	0.1%
157.5757789	1	0.1%
147.3953543	1	0.1%
143.4752097	1	0.1%
140.7620616	1	0.1%
140.5136826	1	0.1%
129.5241594	1	0.1%
129.3506162	1	0.1%

	battery_capacity_kwh	charger_type	charging_cost_usd	charging_rate_kw	day_of_week	distance_driven_km	duration_hours	energy_consumed_kwh	soc_end_percent	soc_start_percent	station_location	temperature_c	time_of_day	user_type	vehicle_age_years	vehicle_model
battery_capacity_kwh	1.000	0.000	-0.009	-0.004	0.029	-0.039	-0.030	0.019	0.005	-0.070	0.000	-0.012	0.000	0.000	0.041	0.000
charger_type	0.000	1.000	0.000	0.000	0.027	0.000	0.063	0.023	0.000	0.077	0.078	0.004	0.000	0.029	0.000	0.000
charging_cost_usd	-0.009	0.000	1.000	0.005	0.000	0.010	0.005	-0.017	-0.063	-0.032	0.039	0.054	0.036	0.000	-0.024	0.070
charging_rate_kw	-0.004	0.000	0.005	1.000	0.000	0.018	-0.004	-0.038	-0.024	-0.034	0.000	0.006	0.024	0.039	-0.053	0.031
day_of_week	0.029	0.027	0.000	0.000	1.000	0.011	0.000	0.000	0.046	0.000	0.000	0.000	0.000	0.000	0.043	0.053
distance_driven_km	-0.039	0.000	0.010	0.018	0.011	1.000	0.025	-0.032	0.027	-0.020	0.000	-0.017	0.000	0.076	-0.023	0.000
duration_hours	-0.030	0.063	0.005	-0.004	0.000	0.025	1.000	0.050	-0.012	-0.020	0.025	-0.058	0.043	0.000	0.031	0.028
energy_consumed_kwh	0.019	0.023	-0.017	-0.038	0.000	-0.032	0.050	1.000	0.021	-0.015	0.000	-0.022	0.062	0.000	0.003	0.000
soc_end_percent	0.005	0.000	-0.063	-0.024	0.046	0.027	-0.012	0.021	1.000	-0.041	0.030	0.012	0.000	0.057	0.022	0.025
soc_start_percent	-0.070	0.077	-0.032	-0.034	0.000	-0.020	-0.020	-0.015	-0.041	1.000	0.016	0.014	0.007	0.000	0.016	0.000
station_location	0.000	0.078	0.039	0.000	0.000	0.000	0.025	0.000	0.030	0.016	1.000	0.000	0.000	0.058	0.000	0.054
temperature_c	-0.012	0.004	0.054	0.006	0.000	-0.017	-0.058	-0.022	0.012	0.014	0.000	1.000	0.024	0.043	0.008	0.000
time_of_day	0.000	0.000	0.036	0.024	0.000	0.000	0.043	0.062	0.000	0.007	0.000	0.024	1.000	0.000	0.000	0.000
user_type	0.000	0.029	0.000	0.039	0.000	0.076	0.000	0.000	0.057	0.000	0.058	0.043	0.000	1.000	0.052	0.000
vehicle_age_years	0.041	0.000	-0.024	-0.053	0.043	-0.023	0.031	0.003	0.022	0.016	0.000	0.008	0.000	0.052	1.000	0.000
vehicle_model	0.000	0.000	0.070	0.031	0.053	0.000	0.028	0.000	0.025	0.000	0.054	0.000	0.000	0.000	0.000	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	user_id	user_type	vehicle_model	vehicle_age_years	station_id	station_location	charger_type	start_time	end_time	duration_hours	energy_consumed_kwh	charging_cost_usd	charging_rate_kw	soc_start_percent	soc_end_percent	time_of_day	day_of_week	distance_driven_km	temperature_c	battery_capacity_kwh
0	User_1	Commuter	BMW i3	2.000000	Station_391	Houston	DC Fast Charger	2024-01-01 00:00:00	2024-01-01 00:39:00	0.591363	60.712346	13.087717	36.389181	29.371576	86.119962	Evening	Tuesday	293.602111	27.947953	108.463007
1	User_2	Casual Driver	Hyundai Kona	3.000000	Station_428	San Francisco	Level 1	2024-01-01 01:00:00	2024-01-01 03:01:00	3.133652	12.339275	21.128448	30.677735	10.115778	84.664344	Morning	Monday	112.112804	14.311026	100.000000
2	User_3	Commuter	Chevy Bolt	2.000000	Station_181	San Francisco	Level 2	2024-01-01 02:00:00	2024-01-01 04:48:00	2.452653	19.128876	35.667270	27.513593	6.854604	69.917615	Morning	Thursday	71.799253	21.002002	75.000000
3	User_4	Long-Distance Traveler	Hyundai Kona	1.000000	Station_327	Houston	Level 1	2024-01-01 03:00:00	2024-01-01 06:42:00	1.266431	79.457824	13.036239	32.882870	83.120003	99.624328	Evening	Saturday	199.577785	38.316313	50.000000
4	User_5	Long-Distance Traveler	Hyundai Kona	1.000000	Station_108	Los Angeles	Level 1	2024-01-01 04:00:00	2024-01-01 05:46:00	2.019765	19.629104	10.161471	10.215712	54.258950	63.743786	Morning	Saturday	203.661847	-7.834199	50.000000
5	User_6	Long-Distance Traveler	Nissan Leaf	0.000000	Station_335	San Francisco	DC Fast Charger	2024-01-01 05:00:00	2024-01-01 07:10:00	1.167640	43.181137	36.900341	14.334523	75.217748	71.982288	Evening	Saturday	143.680046	-5.274218	50.000000
6	User_7	Commuter	Chevy Bolt	4.000000	Station_162	Houston	Level 2	2024-01-01 06:00:00	2024-01-01 07:53:00	3.539619	36.862140	22.214225	26.185188	60.751781	70.796097	Evening	Friday	81.338009	27.551335	85.000000
7	User_8	Long-Distance Traveler	Chevy Bolt	0.000000	Station_302	Los Angeles	Level 2	2024-01-01 07:00:00	2024-01-01 10:42:00	2.655396	51.467617	9.796821	26.702908	56.201703	63.786815	Afternoon	Monday	116.543166	-4.417460	75.000000
8	User_9	Commuter	Chevy Bolt	4.000000	Station_493	Los Angeles	Level 1	2024-01-01 08:00:00	2024-01-01 09:21:00	1.724204	43.592372	32.465005	14.294923	33.466200	92.961421	Evening	Wednesday	208.259742	22.516706	62.000000
9	User_10	Commuter	Hyundai Kona	2.830381	Station_452	Chicago	DC Fast Charger	2024-01-01 09:00:00	2024-01-01 12:44:00	2.026875	78.868607	21.312302	11.761000	27.399455	70.053381	Morning	Wednesday	54.006309	27.512019	50.000000

	user_id	user_type	vehicle_model	vehicle_age_years	station_id	station_location	charger_type	start_time	end_time	duration_hours	energy_consumed_kwh	charging_cost_usd	charging_rate_kw	soc_start_percent	soc_end_percent	time_of_day	day_of_week	distance_driven_km	temperature_c	battery_capacity_kwh
1121	User_1309	Commuter	BMW i3	2.0	Station_181	San Francisco	Level 2	2024-02-24 12:00:00	2024-02-24 13:57:00	0.930239	6.432324	16.431101	9.025939	71.493805	73.286593	Night	Friday	209.983564	21.696951	75.000000
1122	User_1310	Long-Distance Traveler	Hyundai Kona	5.0	Station_493	Los Angeles	Level 1	2024-02-24 13:00:00	2024-02-24 14:57:00	3.909611	16.126090	27.636995	4.194197	61.131252	71.022775	Afternoon	Thursday	82.882612	29.239400	50.000000
1123	User_1312	Commuter	Hyundai Kona	3.0	Station_13	Houston	DC Fast Charger	2024-02-24 15:00:00	2024-02-24 18:53:00	2.849151	74.276701	38.194006	25.073544	41.344062	50.412341	Night	Tuesday	194.793544	7.731967	50.000000
1124	User_1314	Long-Distance Traveler	Tesla Model 3	3.0	Station_458	Chicago	DC Fast Charger	2024-02-24 17:00:00	2024-02-24 19:35:00	2.365991	60.725144	11.289733	10.491921	41.856825	94.097883	Night	Saturday	279.552278	-1.369994	129.350616
1125	User_1315	Long-Distance Traveler	Hyundai Kona	5.0	Station_353	Los Angeles	Level 2	2024-02-24 18:00:00	2024-02-24 19:58:00	2.501809	43.251453	36.356930	63.216118	62.108672	65.198895	Morning	Monday	220.281863	1.630850	50.000000
1126	User_1316	Commuter	Nissan Leaf	7.0	Station_57	New York	Level 2	2024-02-24 19:00:00	2024-02-24 20:30:00	1.426444	42.011654	22.081164	5.895475	39.204102	83.915952	Evening	Sunday	239.601075	1.919655	100.000000
1127	User_1317	Casual Driver	BMW i3	4.0	Station_40	New York	Level 1	2024-02-24 20:00:00	2024-02-24 20:44:00	3.238212	68.185853	5.067806	18.388012	31.456375	93.096461	Evening	Tuesday	164.376022	34.029775	100.000000
1128	User_1318	Commuter	Nissan Leaf	5.0	Station_374	New York	DC Fast Charger	2024-02-24 21:00:00	2024-02-24 23:03:00	3.267122	18.895102	37.255002	45.482066	71.903081	78.678879	Evening	Tuesday	226.519258	20.358761	100.000000
1129	User_1319	Commuter	Chevy Bolt	5.0	Station_336	Chicago	DC Fast Charger	2024-02-24 22:00:00	2024-02-24 23:20:00	2.754527	13.756252	39.046146	38.148183	76.187997	65.926573	Afternoon	Sunday	291.494076	24.134598	85.000000
1130	User_1320	Commuter	Nissan Leaf	5.0	Station_128	San Francisco	Level 1	2024-02-24 23:00:00	2024-02-24 23:56:00	3.740970	63.652570	10.863674	33.704226	59.338076	56.692439	Evening	Monday	14.449236	-6.966593	120.447195

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category